Classifying intermediate learner English: A data-driven approach to learner corpora
نویسندگان
چکیده
We demonstrate how data-driven approaches to learner corpora can support Second Language Acquisition research when integrated with visualisation tools. We employ a visual user interface supporting the investigation of a set of automatically determined features discriminating between pass and fail First Certificate in English (FCE) exam scripts. We illustrate how the interface can support the investigation of individual features. The analysis of the most discriminative features indicates that the development of grammatical categories allowing reference to complex events, referents and discourse relations is a crucial property of the upper-intermediate level.
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